Events
IEEE MRS 2025
The IEEE MRS 2025 will be held on 4-5 Dec 2025 at the Singapore University of Technology and Design (SUTD).
Where, what, how: Geometry, semantics and affordances for robotic mobile manipulation
ISTD COIL Seminar by Jen Jen Chung – This talk will discuss the tight connections between perception, planning and learning for robot grasping and nonprehensile interaction with articulated objects.
Going beyond pretraining: recent advances, applications and future directions for test-time compute and RL
ISTD COIL Seminar by Bill Cai – This talk explores how techniques like chain-of-thought reasoning, self-consistency, and iterative refinement unlock new capabilities by investing compute during inference rather than training alone.
Mapping Urban Belonging in Places of Flux in Singapore
LKYCIC Seminar Series – Urban change in the next two decades in Singapore will be socio-spatial and multi-sourced as urban redevelopment will grow in scope and extent as the city’s built environment ages.
Moral Compass, Machine Trust
LKYCIC Seminar Series – As AI systems increasingly act as teammates rather than tools, understanding the human factors behind trust becomes essential.
The PM's UX dilemmas: what happens when good design meets the real world
ISTD COIL Seminar by Thenmugilan Gandhy – This talk is about the decisions that don’t make it into design case studies.
From one-way mirrors to AI agents: 10 lessons from the field
ISTD COIL Seminar by Emily Cheung – In this session, Emily will share 10 lessons from her journey – from observing users behind one-way mirrors to designing AI-powered ventures.
Decarbonizing by Design
Trending Thoughts Seminar Series – In this session, Karan Sinsinwar, Technical Director, Sustainability at AECOM Singapore, will examine how decarbonization strategies are evolving beyond conventional energy efficiency to embrace whole-life carbon thinking, digital innovation, and integrated design approaches.
Beyond worst-case: The rise of learning-augmented online algorithms
ESD Research Seminar by Themis Gouleakis – Online algorithms are traditionally analysed in adversarial worst-case settings, leading to guarantees that often fail to capture practical performance. The emerging framework of learning-augmented algorithms integrates machine-learned predictions into online decision making while preserving rigorous guarantees.
Dialogues with Leaders: Networking with Experts in Human-Centred Design
Dialogues with Leaders by Hasan Habib – Hasan shares on his experience in UX/UI design in the industry and where he teaches as an Assistant Professor.
